Remote Data Scientist – Pricing & Analytics @ Hopper

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Archive Job Description

Leveraging data to solve customer problems is in Hopper’s DNA. While this began with helping customers save money by booking at the best time with our Price Prediction tool, we’ve also used data to build a suite of novel Fintech products that help customers save money while traveling.
You will be focusing on solving data and engineering problems that allow Hopper to offer products that help our customers navigate travel disruptions (like flight delays, cancellations, or missed connections), and ultimately get where they want to be. If a customer experiences a disruption, they can rebook themselves on any airline – right in the Hopper app – for free.  The Disruption vertical has grown significantly in the last few years and is expanding more by maturing our core products, entering new travel verticals, and offering our products in completely new distribution channels (outside of the Hopper app).
This role has a tremendous impact on the vision and success of the company. It’s a unique opportunity to join one of Hopper’s most innovative teams, and get access to fascinating and massive market and behavioral data sets. It’s a huge personal growth opportunity, and includes high potential upside of pre-IPO stock options.
In this role you will be part of a cross-functional team of product managers, designers, and engineers who work closely together to make travel easier and reach millions of users in the process. We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results.

Responsibilities:

  • Identifying high impact user or flight segments; using them to design risk-based pricing models; building and shipping the models; all with the goal of adding value to our customers’ travel experience while increasing gross profit
  • Think beyond “just the model” by challenging existing product construction and UX, and building data-backed business cases to ship alternatives that improve the customer experience
  • Find new opportunities for revenue growth by becoming the expert on our data and customers
  • Ensuring we are priced correctly based on changing demand environments and external conditions
  • Deliver all of the above within the Hopper app as well as on other distribution channels–the reach of this role is huge

An ideal candidate has:

  • A proven track record of solving complex problems with in depth understanding of data, product and business impact
  • Strong creative problem-solving skills and critical thinking competencies
  • Designed, implemented, and deployed pricing models into production using modern technologies (e.g. Docker, Kubernetes, Google Cloud Platform, etc)
  • Fluency reading and writing coding languages like Python, SQL, etc.
  • Past success analyzing data, drawing accurate conclusions, and adjusting strategy accordingly
  • Works backwards from adding value to the customer experience
  • Experience with data visualization tools (Tableau, Amplitude, Big Query)
  • Worked on a consumer product and has shipped high impact models at scale
  • Strong experience, knowledge of, and/or keen interest in Fintech, Insurtech, or risk-based products
  • Exceptional ability to grasp, manage, and articulate complex systems

Perks of working with us:

  • Competitive salary commensurate with candidate’s relevant qualifications, knowledge, skills and work experience. Total compensation may also include equity (options / RSUs), sign-on bonus and other potential incentives
  • Unlimited PTO
  • WeWork All Access Pass OR Work-from-home stipend
  • Entrepreneurial culture where pushing limits and taking risks is everyday business
  • Open communication with management and company leadership
  • Small, dynamic teams = massive impact
  • 100% employer paid medical, dental, vision, disability and life insurance plans
  • Access to a 401k